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15 GoKawiil briefs on this topic

Tom's Hardware extends free access to AI Chip Design Week coverage through Oct 5

Tom's Hardware Premium is extending free access to its AI Chip Design Week series until Monday, October 5. The coverage includes an unredacted interview with OpenAI hardware VP Richard Ho about the Broadcom-co-developed Jalapeño inference chip, primers on AI's role in chip design, vendor tool breakdowns including Synopsys' new 'Autopilot' platform for AgentEngineer, and a report on IP security risks featuring academics Domenec Forte and Simon Moore.

OpenAI pairs its Jalapeño ASIC with AMD EPYC Turin, not Nvidia Vera

OpenAI is deploying its new Jalapeño AI chip in racks alongside AMD's EPYC Turin CPUs, each configured with 1.5TB of memory, rather than Nvidia's newer Vera processor. Richard Ho, OpenAI's VP and Head of Hardware, told Tom's Hardware that Turin was chosen for pragmatic reasons, calling Vera 'a little bit behind' in maturity and noting partners already had experience with AMD's chip.

OpenAI says AI-assisted design cut Jalapeño chip's RTL-to-tapeout time to nine months

OpenAI head of hardware Richard Ho said the company's Jalapeño ASIC went from initial RTL design to tapeout in roughly nine months, with total concept-to-reveal time under two years. Ho said the chip was built from scratch using OpenAI's own internal AI models, including its Codex coding platform, alongside standard EDA tools, and that other engineering teams have been asking how OpenAI achieved the pace.

AI tools take on larger roles in chip design at Cadence, Synopsys, Siemens EDA

EDA vendors including Cadence, Synopsys, and Siemens EDA, along with simulation software maker Ansys, began rolling out AI-enhanced design tools in the early 2020s using machine learning and reinforcement learning to optimize floorplans, placement, routing, and verification. Architect Labs recently said it produced a chip design developed almost entirely by AI, which the report calls an industry first, while generative AI increasingly assists engineers writing RTL code and emerging agentic systems can run EDA tools with less human oversight.

OpenAI says Jalapeño AI chip built for internal use, hints at wider access later

OpenAI's Head of Hardware Richard Ho told Tom's Hardware that the company's new Jalapeño inference ASIC, developed with Broadcom, is designed primarily to meet OpenAI's own growing compute demand. Ho said the chip 'could' be used by others eventually, but that satisfying OpenAI's internal needs remains the priority for the foreseeable future. At Hot Chips 2026, OpenAI shared benchmarks showing Jalapeño running GPT-OSS, DeepSeek R1 and Kimi K2.5 against Nvidia's GB200 and GB300 accelerators.

Tom's Hardware opens AI Chip Design Week coverage free through Oct 2

Tom's Hardware is offering free access to its Premium AI Chip Design Week coverage from September 28 to October 2, available to anyone who creates a free account. The lineup includes an interview with OpenAI hardware lead Richard Ho about Jalapeño, the company's AI-designed inference ASIC unveiled at Hot Chips 2026, plus reports on AI's role in EDA tools and future AI-assisted chip design.

OpenAI's Richard Ho explains Jalapeño inference chip in Hot Chips interview

OpenAI's VP of Hardware, Richard Ho, spoke with Tom's Hardware following the August 2026 Hot Chips reveal of the company's Jalapeño inference ASIC. Ho said the chip's development leaned heavily on AI tools to compress the design timeline, and that efficiency, not raw performance, was the primary driver behind building custom silicon.

OpenAI details how its LLMs sped up design of Jalapeño AI chip

OpenAI has fully unveiled Jalapeño, its first AI accelerator chip, boasting up to 13.4 petaflops of 4-bit compute and 232GB of high-speed memory. The company says benchmarks show up to 3.6x lower latency than Nvidia's GB300 at lower power, and that the chip went from concept to silicon in under 20 months using its own large language models to accelerate design work with a team of fewer than 100 engineers.

Samsung joins $231M funding round for Nvidia rival Euclyd

Dutch startup Euclyd raised a 200-million-euro ($231 million) Series A round, with Samsung, Somerset Capital Partners, EQT's Scaleup Europe Fund and Innovation Industries co-leading the investment. Founded in 2024, Euclyd is building an AI chip system with a different architecture from Nvidia's GPUs, aimed specifically at inference workloads, covering both processor and memory design.

OpenAI signals Samsung Foundry may build its next AI chips alongside TSMC

OpenAI Korea's general manager Harrison Kim said the company has made significant progress working with Samsung Electronics on next-generation chip development and production. This suggests OpenAI could source future AI accelerators from both Samsung Foundry and TSMC, rather than relying solely on TSMC as it does for its current Jalapeño inference chip built with Broadcom.

Broadcom shares fall 5% despite earnings beat as Q4 revenue outlook disappoints

Broadcom topped Wall Street expectations for its latest quarter, with adjusted earnings of $3.32 per share and revenue of $29.59 billion, both above estimates, while net income more than tripled year-over-year to $13.09 billion. However, the company's fourth-quarter revenue forecast of $34.8 billion came in slightly below the $35.03 billion analysts anticipated, sending shares down 5% in after-hours trading.

OpenAI Unveils Jalapeño Inference Chip Built With Broadcom

OpenAI revealed its first custom AI chip, called Jalapeño, claiming it delivers industry-leading speed and efficiency for inference workloads. The chip, co-developed with Broadcom, is set to be deployed in OpenAI's own infrastructure by year-end, with two more generations already in development.